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Slide 1: Abstract
In the study, there has been the depiction of research aims as well as SMART objectives in detail.
In recent times, a huge amount of change occurred in healthcare, including the implementation of high technology for treatment purposes. Therefore facing security threats is a common issue, such as user error, the rise of hackers, and the adaptation of cloud technology. In certain cases, it has been seen that the hospitals have not updated their technologies resulting in using outdated ones, which become easier for hackers to steal the data easily.
The project mainly focuses on all the issues in protecting the data that are present in hospitals. In addition to this, the SMART objectives declare the way the challenge can be mitigated along with the time frame of it.
The appropriate mitigation strategies are to be provided such that the hospital sectors are able to protect the personal information of patients and protect them from getting interrupted. The data are saved by hospitals for future use and for proper diagnosis, and thus, it is needed to be kept safe in digital devices such as desktops by hospital authorities. The data for the research purpose is to be collected from the participants by the researcher. The participants of the project are the healthcare providers such as doctors and nurses.
It was not possible to make deep research on all the factors that caused issues in protecting healthcare data which is counted to be a drawback of the research. On the other hand, there are different positive aspects of research, among which the most important one is suitable mitigation strategies. The strategies have been declared in such a way that they can be implemented by any UK healthcare sector.
During the ongoing research, I have taken interviews with the respondents who work in the hospital sector. Therefore, from this perspective, I have got to know about different unknown facts related to hospital data security. I have come across different issues while the research was going on, such as fixing the time of the interview, as they were busy with the novel tasks.
Slide 7: Conclusion
The project has also been in charge of containing highlighting areas such as research methodology, considerations along with results.
Slide 8: References
Kaur, P., Sharma, M. and Mittal, M., 2018. Big data and machine learning based secure healthcare framework. Procedia computer science, 132, pp.1049-1059. https://www.sciencedirect.com/science/article/pii/S187705091830752X/pdf?md5=c9398593062bd8d8d17dd0caf795fea7&pid=1-s2.0-S187705091830752X-main.pdf
Meri, A., Hasan, M.K., Danaee, M., Jaber, M., Safei, N., Dauwed, M., Abd, S.K. and Al-bsheish, M., 2019. Modelling the utilization of cloud health information systems in the Iraqi public healthcare sector. Telematics and Informatics, 36, pp.132-146. https://doi.org/10.1016/j.tele.2018.12.001
Pandey, A.K., Khan, A.I., Abushark, Y.B., Alam, M.M., Agrawal, A., Kumar, R. and Khan, R.A., 2020. Key issues in healthcare data integrity: Analysis and recommendations. IEEE Access, 8, pp.40612-40628. https://ieeexplore.ieee.org/iel7/6287639/8948470/09016269.pdf
Peiser, G., Pratt, A. and Putwain, D., 2022. Student teachers' views about the university's research contribution to professional knowledge development. Teaching and Teacher Education, 112, p.103647. https://doi.org/10.1016/j.tate.2022.103647
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